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Pinto, Diego
Barán, BenjamÃn Fabregat Gesa, Ramon |
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2005 | |
This work presents a new multiobjective algorithm based on ant colonies, which is used in the construction of the multicast tree for data transmission in a computer network. The proposed algorithm simultaneously optimizes cost of the multicast tree, average delay and maximum end-to-end delay. In this way, a set of optimal solutions, know as Pareto set, is calculated in only one run of the algorithm, without a priori restrictions. The proposed algorithm was inspired in a Multi-objective Ant Colony System (MOACS). Experimental results prove the proposed algorithm outperforms a recently published Multiobjective Multicast Algorithm (MMA), specially designed for solving the multicast routing problem | |
application/pdf | |
http://hdl.handle.net/10256/8392 | |
eng | |
Associació Catalana d’Intel·ligència Artificial | |
Articles publicats (IIIA) | |
© Congrés Català d’ Intel·ligència Artificial (8è : 2005 : L’Alguer, Ità lia). Proceedings of CCIA 2005: 26,27 i 28 d’ octubre de 2005 a l’ Alguer, 2005, p. 363-370 | |
Tots els drets reservats | |
Algorismes
Algorithms Telecomunicació -- Trà fic Telecommunication -- Traffic Protocols de xarxes d’ordinadors Computer network protocols Optimització matemà tica Mathematical optimization |
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Multi-Objective Multicast Routing based on Ant Colony Optimization | |
info:eu-repo/semantics/article | |
DUGiDocs |